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Titlebook: Calibration and Orientation of Cameras in Computer Vision; Armin Gruen,Thomas S. Huang Book 2001 Springer-Verlag Berlin Heidelberg 2001 St

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Book 2001tional Society of Photogrammetry and Remote Sensing), in July 1992 in Washington, D. C. The goal of this workshop was to bring photogrammetry and computer vision experts together in order to exchange ideas, concepts and approaches in camera calibration and orientation. These topics have been address
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System Calibration Through Self-Calibration,e principle of self-calibration, emphasizes some of the problems which are associated with it, and demonstrates with practical data to what extent geometry and network design will influence the determinability of the self-calibration parameters. Finally, a system test will show the high accuracy performance of self-calibrating CCD camera systems.
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,Allgemeine Physiologie der Großhirnrinde,riefly overviewed, the parameterization of the calibration components is reviewed, and the methods of parameter determination are discussed. The use of photogrammetric calibration techniques offers a means of significantly improving the accuracy of spatial position and orientation information in computer and machine vision systems.
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Least-Squares Camera Calibration Including Lens Distortion and Automatic Editing of Calibration Poiother known information. Outliers among the calibration points are removed by means of automatic editing based on analysis of the residuals. The use of the camera model also is described, including partial derivatives for propagating both from object space to image space and vice versa.
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Wachen, Aufmerksamkeit und Schlafen,e principle of self-calibration, emphasizes some of the problems which are associated with it, and demonstrates with practical data to what extent geometry and network design will influence the determinability of the self-calibration parameters. Finally, a system test will show the high accuracy performance of self-calibrating CCD camera systems.
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